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AI Under the Hood: Playform

In this installment of “AI Under the Hood” I introduce recently launched Playform (Artrendex Inc.), a generative AI collaborative tool for artists. The company’s tech publicist reached out to me around when the global pandemic became serious, so it’s taken a while for me to write this review. But I was impressed with all the materials the company provided me for making a technology assessment. As a previous researcher myself, I’m always excited when a company sends me a link to an arXiv.org paper written by a founder. Nice touch!

Video Highlights: Machine Learning for Seeing and Hearing More

With COVID-19 keeping everyone indoors, this is the perfect opportunity to brush up your data science skills. Data science is a field that is booming and is playing a huge role in society. Instead of just reading a book, in this regular feature column, I will provide some great video learning resources. You can follow these YouTubers and gain insights and advice from their years of experience in the field. Plus you can learn how to code by following through their tutorials and pick up a new skill. So, fire up YouTube below and start learning!

Best of arXiv.org for AI, Machine Learning, and Deep Learning – March 2020

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Columbia University DSI Alumni Use Machine Learning to Discover Coronavirus Treatments

Two graduates of the Data Science Institute (DSI) at Columbia University are using computational design to quickly discover treatments for the coronavirus. Andrew Satz and Brett Averso are chief executive officer and chief technology officer, respectively, of EVQLV, a startup creating algorithms capable of computationally generating, screening, and optimizing hundreds of millions of therapeutic antibodies. They apply their technology to discover treatments most likely to help those infected by the virus responsible for COVID-19.

Intel + Cornell Pioneering Work in the “Science of Smell”

Nature Machine Intelligence published a joint paper from researchers at Intel Labs and Cornell University demonstrating the ability of Intel’s neuromorphic test chip, Loihi, to learn and recognize 10 hazardous chemicals, even in the presence of significant noise and occlusion. The work demonstrates how neuromorphic computing could be used to detect smells that are precursors to explosives, narcotics and more.

NVIDIA’s New Data Science Workstation— a Review and Benchmark

This new whitepaper from NVIDIA Partner firm PNY Technologies, tests and reviews the recently released Data Science Workstation, a PC that puts together all the Data Science hardware and software into one nice package. The workstation is a total powerhouse machine, packed with all the computing power—and software—that’s great for plowing through data.

Will Advanced Earth Observation Data Come to the Rescue When Climate Change Leads to Food Shortages?

Satellite data enables ongoing monitoring of the situation on Earth, creating models to support agriculture, and managing the risk related to climate change. More and more companies and institutions take advantage of this data, also within the framework of the state administration, where satellite images are increasingly used e.g. to analyze soil moisture and identify areas likely to yield worse crops.

Interview: Felix Dorrek, Ph.D.

I recently caught up with Felix Dorrek to discuss his research in the area of deep generative networks. The interview touches on the technology’s power, practical applications, importance to business in 2020, as well as generating synthetic data. Felix holds a Ph.D. in mathematics from the Vienna Technical University where he conducted research in the field of Convex Geometry.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – February 2020

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the month.

Survey Finds SMBs Aren’t Fully Leveraging Business Analytics

Despite spending hundreds of hours and thousands of dollars on their data analytics solutions annually, 86% of SMB managers and executives surveyed by Onepath said their companies could be making better use of these technologies.